Baidu.com Times Technology (Beijing) Co., Ltd., Beijing 100085, China.
School of Architecture, Tsinghua University, Beijing 100084, China.
Int J Environ Res Public Health. 2022 Nov 15;19(22):15035. doi: 10.3390/ijerph192215035.
Industrial parks are functional urban areas that carry the capacity to support highly concentrated production activities. The robustness and anti-interference ability of these areas are of great importance to maintaining economic vitality of a country. Focusing on the rate of production recovery (RPR), this paper examines the recovery of 436 major industrial parks in mainland China during the first wave of COVID-19. Leveraging spatio-temporal big data, we measured 14 attributes pertaining to industrial parks, covering four categories, namely spatial location, central city, park development, and public service. We focused on the spatial association and heterogeneity of the recovery patterns and identified the factors that truly affected the recovery of industrial parks with quantitative evaluation of their effects. The results reveal that: (1) RPR of industrial parks are significantly spatially clustered, with an obvious "cold spot" in the early outbreak area of Hubei Province and a prominent "center-periphery" pattern in developed areas, which is highly correlated with the spread of the epidemic. (2) The mechanisms driving the resumption of industrial parks are complex and versatile. All four categories in the variable matrix are related to RPR, including up to eight effective influencing factors. The effect of influencing factors is spatially heterogeneous, and its intensity varies significantly across regions. What is more interesting is that some impact factors show positive effects in some industrial parks while inhibiting the recovery in others. On the basis of the discussion of those findings with practical experiences, the planning and construction strategies of industrial park are suggested to mitigate the impact of similar external shocks.
工业园区是具有支撑高度集中生产活动能力的功能城市区域。这些区域的稳健性和抗干扰能力对于维护一个国家的经济活力至关重要。本文聚焦于生产恢复率（RPR），考察了中国大陆在 COVID-19 第一波疫情期间 436 个主要工业园区的恢复情况。利用时空大数据，我们测量了与工业园区相关的 14 个属性，涵盖空间位置、中心城市、园区发展和公共服务四大类。我们关注了恢复模式的空间关联和异质性，并通过定量评估其影响，确定了真正影响工业园区恢复的因素。研究结果表明：（1）工业园区的 RPR 具有显著的空间集聚性，在湖北省疫情早期爆发地区存在明显的“冷点”，在发达地区呈现出显著的“中心-外围”格局，这与疫情的传播高度相关。（2）工业园区恢复的机制复杂多样。变量矩阵中的所有四个类别都与 RPR 相关，包括多达八个有效的影响因素。影响因素的作用具有空间异质性，在不同地区的强度差异显著。更有趣的是，一些影响因素在某些工业园区中表现出积极的影响，而在其他工业园区中则抑制了恢复。基于对这些发现的讨论，并结合实际经验，提出了工业园区的规划和建设策略，以减轻类似外部冲击的影响。
